A total variation based approach to correcting surface coil magnetic resonance images

DOI10.1016/j.amc.2011.03.002zbMath1223.92028OpenAlexW2066600307WikidataQ115155166 ScholiaQ115155166MaRDI QIDQ720605

Stephen L. Keeling, Florian Knoll, Antoine Laurain, Daniel Kraft, Michael Hintermüller

Publication date: 11 October 2011

Published in: Applied Mathematics and Computation (Search for Journal in Brave)

Full work available at URL: http://unipub.uni-graz.at/doi/doi:10.1016/j.amc.2011.03.002

zbMATH Keywords

denoisingtotal variation regularizationbilinear residualmodulation correctionprimal dual

Mathematics Subject Classification ID

Probabilistic models, generic numerical methods in probability and statistics (65C20) Numerical optimization and variational techniques (65K10) Biomedical imaging and signal processing (92C55)

Related Items (2)

Quantitative Magnetic Resonance Imaging: From Fingerprinting to Integrated Physics-Based Models ⋮ A Nash game based variational model for joint image intensity correction and registration to deal with varying illumination

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• A variational approach to magnetic resonance coil sensitivity estimation
• Geometric multigrid for high-order regularizations of early vision problems
• On a bilinear optimization problem in parallel magnetic resonance imaging
• Multiphase image segmentation and modulation recovery based on shape and topological sensitivity
• Total variation based convex filters for medical imaging
• Dual norms and image decomposition models
• An adaptive fuzzy C-means algorithm for image segmentation in the presence of intensity inhomogeneities
• A Nonlinear Primal-Dual Method for Total Variation-Based Image Restoration
• Total Bounded Variation Regularization as a Bilaterally Constrained Optimization Problem
• An Infeasible Primal-Dual Algorithm for Total Bounded Variation--Based Inf-Convolution-Type Image Restoration

This page was built for publication: A total variation based approach to correcting surface coil magnetic resonance images